Remote LLM Engineer — AI Apps & Production Systems

Tempus Unlimited; Florida (OH); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Sign on bonus

Work/Life balance

25 days PTO

14 holidays

Tempus Wellness

Life insurance

On-site gym

Merit increases

403(b) matching

Continued education

Job summary

Tempus Unlimited is seeking an AI Engineer to design and operate in-house AI systems, focusing on performance, security, and reliability. The role involves maintaining AI models, quantization for production, and building end-to-end ML pipelines in a remote-capable setup based near Stoughton, MA.

You will work on RAG systems, semantic search, and production-grade APIs while collaborating with network and system admins to deploy models and monitor performance in real-world environments.

Qualifications

• Minimum education: High School Degree (or equivalent) with relevant experience, or a Bachelor’s degree in a related field.
• Familiarity with Python, SQL, ETL pipelines, PyTorch, TensorFlow, LlamaIndex, and LangGraph.
• Problem-solving and analytical skills.
• Ability to stay current with new systems and AI technologies.

Responsibilities

• Design and build LLM-powered applications, APIs, and agentic pipelines.
• Collaborate with network and system administrators to integrate AI models into production systems via REST APIs and SDKs.
• Develop RAG (Retrieval-Augmented Generation) systems and semantic search features.
• Fine-tune foundation models for specific use cases.
• Develop, train, evaluate, and iterate on ML models using real-world datasets; contribute to and maintain system standards.
• Run tracking metrics and benchmark model performance.
• Optimize and quantize models to improve latency and accuracy in production.
• Build and maintain data pipelines that supply AI models.
• Set up monitoring, alerting, and logging for model health and drift.
• Work with managers and system admins to define AI feature requirements and translate business problems into AI/ML solution designs.
• Research and evaluate new models, frameworks, and tools.
• Document architecture experiments and decisions clearly.
• Research and recommend innovative approaches for system administration tasks and economies of scale.
• Repair and recover from hardware or software failures; coordinate with affected constituencies.
• Perform periodic performance reporting to support capacity planning.
• Analyze system logs to identify potential issues with computer systems.
• Conduct routine audits of systems and software.

Skills

Python

SQL

ETL pipelines

PyTorch

TensorFlow

LlamaIndex

LangGraph

Education

High School Degree or equivalent

Bachelor’s degree in a related field

Tools

REST APIs

SDKs

Job description

Tempus Unlimited is seeking an AI Engineer to design and operate in-house AI systems, focusing on performance, security, and reliability. The role involves maintaining AI models, quantization for production, and building end-to-end ML pipelines in a remote-capable setup based near Stoughton, MA.

You will work on RAG systems, semantic search, and production-grade APIs while collaborating with network and system admins to deploy models and monitor performance in real-world environments.